H. Md. Azamathulla

According to our database, H. Md. Azamathulla authored at least 19 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

Sensitivity Analysis of Parameters Affecting Wetland Water Levels: A Study of Flood Detention Basin, Colombo, Sri Lanka.

Madhawa R. Herath, Tharaka Jayathilaka, Hazi Mohammad Azamathulla, Vishwanadham Mandala, Namal Rathnayake, Upaka Rathnayake

Sensors, April, 2023

2015

Application of Gene-Expression Programming in Hydraulic Engineering.

Abdolreza Zahiri, A. A. Dehghani, H. Md. Azamathulla

Proceedings of the Handbook of Genetic Programming Applications, 2015

Neuro-Fuzzy GMDH to Predict the Scour Pile Groups due to Waves.

Mohammad Najafzadeh, Hazi Mohammad Azamathulla

J. Comput. Civ. Eng., 2015

Application of Google earth to investigate the change of flood inundation area due to flood detention dam.

Mohamad Reza Madadi, Hazi Mohammad Azamathulla, Mahmood Yakhkeshi

Earth Sci. Informatics, 2015

2014

Comparison between linear genetic programming and M5 tree models to predict flow discharge in compound channels.

Abdolreza Zahiri, H. Md. Azamathulla

Neural Comput. Appl., 2014

Prediction of soil erodibility factor for Peninsular Malaysia soil series using ANN.

Mohd Fazly Yusof, H. Md. Azamathulla, Rozi Abdullah

Neural Comput. Appl., 2014

Assessment of M5′ model tree and classification and regression trees for prediction of scour depth below free overfall spillways.

Mehrshad Samadi, Ebrahim Jabbari, H. Md. Azamathulla

Neural Comput. Appl., 2014

Prediction of pipeline scour depth in clear-water and live-bed conditions using group method of data handling.

Mohammad Najafzadeh, Gholam-Abbas Barani, Hazi Mohammad Azamathulla

Neural Comput. Appl., 2014

Development of GEP-based functional relationship for sediment transport in tropical rivers.

Aminuddin Ab. Ghani, H. Md. Azamathulla

Neural Comput. Appl., 2014

2013

Group method of data handling to predict scour depth around bridge piers.

Mohammad Najafzadeh, Hazi Mohammad Azamathulla

Neural Comput. Appl., 2013

A practical approach to formulate stage-discharge relationship in natural rivers.

Aytaç Güven, Ali Aytek, H. Md. Azamathulla

Neural Comput. Appl., 2013

Soft computing for prediction of river pipeline scour depth.

Hazi Mohammad Azamathulla, Mohd. Azlan Mohd. Yusoff

Neural Comput. Appl., 2013

Knowledge extraction from trained neural network scour model at culvert outlets.

H. Md. Azamathulla, Abu Ahmed Mokammel Haque

Neural Comput. Appl., 2013

An expert system for predicting Manning's roughness coefficient in open channels by using gene expression programming.

H. Md. Azamathulla, Zulfequar Ahmad, Aminuddin Ab. Ghani

Neural Comput. Appl., 2013

Gene-expression programming to predict friction factor for Southern Italian rivers.

H. Md. Azamathulla

Neural Comput. Appl., 2013

2012

ANFIS-based approach for predicting sediment transport in clean sewer.

H. Md. Azamathulla, Aminuddin Ab. Ghani, Seow Yen Fei

Appl. Soft Comput., 2012

2011

Predictive model-based for the critical submergence of horizontal intakes in open channel flows with different clearance bottoms using CART, ANN and linear regression approaches.

Mohammad Karim Ayoubloo, H. Md. Azamathulla, Ebrahim Jabbari, Morteza Zanganeh

Expert Syst. Appl., 2011

Support vector machine approach for longitudinal dispersion coefficients in natural streams.

H. Md. Azamathulla, Fu-Chun Wu

Appl. Soft Comput., 2011

2008

Alternative neural networks to estimate the scour below spillways.

H. Md. Azamathulla, M. C. Deo, P. B. Deolalikar

Adv. Eng. Softw., 2008